International Business Machines Corporation

Kyndryl, Inc.

Blue Yonder Group, Inc.

Raghuveer Prasad Nagar

Sarbajit Kumar Rakshit

Jagadesh Ramaswamy Hulugundi

Shikhar Kwatra

Manjit Singh Sodhi

Reji Jose

Jeremy R Fox

Sidharth Ullal

Satyam Jakkula

Manoj Kumar Goyal

Indervir Singh Banipal

Saurabh Yadav

Aaron K Baughman

Tushar Agrawal

Amitava Kundu

Dinesh K Bhudavaram

Harshit Sharma

Satisha C Honnavalli

Zachary A Silverstein

Mauro Marzorati

Hemant Kumar Sivaswamy

Thomas Jefferson Sandridge

Peter Edward Stubbs

Subba Rayudu Tangirala

Raghavendra Krishna Murthy

Abhishek Solanki

Subha Hari

Bernie Wong

Kavita Prasad

Balaji Natarajan

Lisa Seacat DeLuca

Martin G Keen

Peeyush Jaiswal

Arvind Kumar

Nadiya Kochura

Sushain Pandit

Vinod A Valecha

Sathya Santhar

Petr Novotny

Clement Decrop

Rahul Jain

Tiberiu (Jim) Suto

Priyansh Jaiswal

Gray Franklin Cannon

Mary E Rudden

Anurag Srivastava

Kelly Camus

Melissa Restrepo Conde

Gaurav Kumar

Nithin Mathew

Manish Agrawal

Sweta Agarwal

Shefali Bansal

Siddharth R Rao

Srikant Vitta

Poornima Iyengar

Michael Yesudas

Aditi Chakraborty

Gaurav Mahesh Pandit

Bharat Khade

Gurunath Rampur

Hiti Sinha

Radha Srinivasan

Nalini Sampathkumar

Madhu Kumar Shivalingappa

Prashanth Krishna Rao

Smitha N Marutheesh

Aishwarya Saraswathi H M

Parvathy Rajeev

Sandip Goswami

Nimit S Chauhan

Saneesh Parambath

Mahasweta Ghosh

Neelesh Gupta

Kantharaju P G

Mohamed Jawahar Hussain

Prashant Pillai

Sudhanshu Shekhar

Kshitiz Shrivastava

Rajasekhar Thallam

Lakshmi Bellave Ramesh

Bharat Bhushan Balothia

Romil Samyal

A computer-implemented method for displaying an augmented reality (AR) object is disclosed. The computer-implemented method includes identifying a physical object of interest in a user's AR field of view (FOV), determining an amount of time required for the physical object of interest to be displayed within the user's AR FOV, based on the user's relative position and movement with respect to the physical object of interest, determining the physical object of interest is no longer in the user's physical FOV prior to an expiration of the determined amount of time required for the physical object to be displayed within the user's AR FOV, and displaying a digital object corresponding to the physical object of interest in the users AR FOV until the determined amount of time required for the physical object to be displayed within the user's AR FOV has expired.

Velocity based dynamic augmented reality object adjustment

A computer-implemented method according to one embodiment includes displaying an avatar associated with a second user on an augmented reality (AR) lens of a first communication device, in response to receiving, on the first communication device worn by a first user, a notification from a second communication device of the second user. The first user is monitored for a predetermined gesture. In response to a determination that the first user performs a first predetermined gesture, an action associated with the first predetermined gesture is performed by the first communication device. The method further includes outputting a response associated with the first predetermined gesture. The response indicates an availability of the first user to communicate with the second user.

Displaying avatars on an augmented reality (AR) lens in response to receiving a communication notification

A system and method are disclosed for event-based data security. The method includes learning customer events which require an action on sensitive and personal information (SPI), learning a mapping between the customer events and a first subset of the SPI, detecting for a particular customer an event having an impact on the SPI of the particular customer, determining a second subset of the SPI that may be impacted by the event, determining an action to perform for the second subset of the SPI, and performing the action on the second subset of SPI. The method further includes learning the mapping using data streams, where the data streams comprise security policies, customer interactions, publicly available information and a product catalog. The method further includes where the action comprises moving the SPI, modifying the SPI, masking the SPI or removing the SPI.

Securing sensitive and personal data through cognitive actions

A method includes identifying a cluster of users with a plurality of devices, where each user from the cluster of users is associated with at least one device from the plurality of devices. The method also includes identifying an authorized user from the cluster of users to delegate role assignments to a remaining portion of the cluster of users and receiving, from the authorized user, a first role assignment for a first user from the remaining portion of the cluster of users. In response to receiving, from the first user, an audio command, the method also includes determining whether the first user is authorized to provide the audio command to the intelligent virtual assistant based on the first role assignment. In response to determining the first user is authorized to provide the audio command, the method also includes performing the audio command from the first user.

Role assignment for intelligent virtual assistants

A computer-implemented process includes the following operations. Interface data for a first computer application having a first interface configured to exchange data with a second computer application is identified. The interface data is aggregated using a machine learning engine, and the machine learning engine performs contextual analysis on the aggregated interface data to identify a context. A fix pack for the first computer application is generated using the context from the contextual analysis. The fix pack is caused to be applied to the first computer application. The fix pack includes an installable for the first application to transform notations used by the second computer application when communication with the first application.

API optimizer using contextual analysis of interface data exchange

A processor may receive user data associated with a voice conversation having one or more participating users. The processor may analyze the user data for voice content associated with the voice conversation and the one or more participating users. The processor may determine a security policy associated with the voice conversation. The processor may identify one or more permission rules from the security policy associated with the voice conversation. The processor may dynamically execute the one or more permission rules to a portion of the voice content associated with at least one participating user. Dynamically executing the one or more permission rules may include modifying the portion of the voice content.

Authorization management of multiparty communications

The exemplary embodiments disclose a method, a computer program product, and a computer system for determining the context of media. The exemplary embodiments may include a user consuming media, collecting data of the media, extracting one or more features from the collected data, and determining a media context based on the extracted one or more features and one or more models.

Displaying contextual information of media

A computer system performs corrective operations during a three-dimensional (3D) printing job. The 3D printing job is initiated to produce a physical object. Printing of the physical object is monitored to identify a defect of the physical object during the printing. The defect is analyzed to determine one or more corrective operations to apply to the physical object. The one or more corrective operations are performed during the printing. Embodiments of the present invention further include a method and program product for performing corrective operations during a 3D printing job model in substantially the same manner described above.

Performing corrective actions during three-dimensional printing jobs

A system and method are disclosed for handling an available to promise inquiry. The method comprises requesting statistics for partitions of a distributed cache, determining whether a threshold for the partitions has been reached, in response to a determination that the threshold for the partitions has been reached, fetching inventory data for the available to promise inquiry from a local cache, and in response to a determination that the threshold for the partitions has not been reached, fetching inventory data for the available to promise inquiry from the distributed cache. The method further comprises setting an expiry time before the local cache is purged, and storing a status of the partitions based at least in part on the determining that the threshold for the partitions has been reached, the status indicating the partitions as being overloaded.

System and method of partition overload handling for e-commerce available to promise inquiries

Adapting specifications of an artificial intelligence (AI) ecosystem are adapted, using a computer, based on an existing AI ecosystem of a user. A login is received, at the computer having a remote-based account of a user, to a new AI ecosystem. Specifications are determined from an existing AI ecosystem of the user, and the specifications include preferences and historical data related to the existing AI ecosystem based on usage of existing machines. Adaptive functionality is derived, using the computer, for new machines in the new AI ecosystem. The adaptive functionality is based on the specifications including the preferences and the historical data for the existing AI ecosystem. The specifications including the adaptive functionality is applied to the new machines of the new AI ecosystem.

Adapting artificial intelligence (AI) ecosystem specifications

A computer system implemented method for a user includes gathering, by a computer system, records of sources that each have no website and that the computer system, therefore, deems to be nondigital sources. The gathering includes the computer system receiving identifications of the nondigital sources based on transactions of other users with the respective sources. The computer system selects candidate sources from among the nondigital sources based on a geolocation of the first user and geolocations of the sources. The computer system selects a final source from among the candidate sources, wherein the computer system selecting the final source includes an artificial intelligence model fitting attributes of the candidate sources to attributes valued by the first user. The computer system presents the final source to the first user as a recommendation by the computer system.

Technology for augmented reality presentation and recommendations regarding proximate points of interest

The present specification describes a computer-implemented method. According to the method, an electronic file to be stored is received and a first context determined for the electronic file. The electronic file is split into multiple segments such that the first context of the electronic file is not discernible from any segment. The multiple segments are then distributed amongst multiple remote storage devices.

Contextually irrelevant file segmentation

A system, method, and computer program product for implementing dynamic virtual network access is provided. The method includes monitoring hardware devices associated with network locations comprising data and software code. In response, updates applied to the data and software code are detected and a context of the updates is determined. Based on the context, it is determined that that the updates applied to the data and software code should be cloned and associated user access is verified. A target component location associated with the updates applied to the data and software code to be cloned is determined and the updates applied to the data and software code with respect to the target component location are cloned. A notification indicating the cloning is transmitted to users.

Dynamic virtual network access

Provided are a method, system, and computer program product in which a computational device generates information on an application switch by a user from a first application in a first device to a second application in a second device. Additional information continues to be generated on application switches on the second device. A visualization of the information and the additional information is provided to the user to allow the user to return to a point at which the application switch to the second application in the second device took place from the first application in the first device.

Maintenance of focus on an original task while switching among applications

A method includes: predicting a jeopardy associated with an edge server included in the server cluster that communicates with a central server; responsive to predicting the jeopardy, detaching the edge server from the server cluster; determining a patch based on the jeopardy; pushing the patch to the edge server; validating the patch by performing regression testing; and responsive to validating the patch, inducting the edge server into the server cluster.

Contextually cognitive edge server manager

Growing community of inventors

Kota, India

Raghuveer Prasad Nagar